ArticleScientific reports2012
Evolutionary design of non-frustrated networks of phase-repulsive oscillators.
Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Cell signaling as a cognitive process.The EMBO journal · 2017Review
- Untangling complex dynamical systems via derivative-variable correlations.Scientific reports · 2014Article
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Authors and funding
1 author.
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Abstract
Evolutionary optimisation algorithm is employed to design networks of phase-repulsive oscillators that achieve an anti-phase synchronised state. By introducing the link frustration, the evolutionary process is implemented by rewiring the links with probability proportional to their frustration, until the final network displaying a unique non-frustrated dynamical state is reached. Resulting networks are bipartite and with zero clustering. In addition, the designed non-frustrated anti-phase synchronised networks display a clear topological scale. This contrasts usually studied cases of networks with phase-attractive dynamics, whose performance towards full synchronisation is typically enhanced by the presence of a topological hierarchy.
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Registered trials
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